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Spreadsheets

Analyze spreadsheets with formulas, charts, and Python-powered workflows.

Jetdraft gives teams a way to work with structured data in the same workspace as the rest of the job. Instead of bouncing between chat, a spreadsheet app, and a separate scripting tool, teams can move from raw data to formulas, charts, and decision-ready outputs in one place.

Mini spreadsheet workspace

Work with tables and formulas directly inside Jetdraft instead of only talking about them.

Charts and summaries

Turn raw numbers into outputs decision-makers can actually read.

Python-backed analysis

Use a stronger code sandbox when the job is heavier than a few formulas.

Tables and formulas

Ask for the table or formula you need instead of memorizing how to build it first.

Jetdraft helps teams work with spreadsheets directly: creating structured tables, filling in calculations, and turning unstructured data into a format the rest of the workflow can use.

  • Build tables and formulas from plain-language instructions.
  • Reference cells and calculations naturally as the analysis evolves.
  • Turn rough data into something structured enough to use next.
Spreadsheet formulas preview.
Charts and outputs

Go from CSVs to charts and summaries without leaving the workspace.

Once the data is structured, the next job is usually turning it into something people can read. Jetdraft keeps that path short by making charting and summary generation part of the same workspace.

  • Generate charts and graphs as part of the analysis workflow.
  • Create decision-ready summaries while the spreadsheet context is still live.
  • Keep the analysis connected to the resulting document or report.
Spreadsheet charting preview.
Heavier analysis

Use Python-backed workflows when the file is bigger and the logic is heavier.

The upgraded sandbox moves heavier spreadsheet work into Python so Jetdraft can handle larger CSVs, better charting, and more substantial data-cleaning or analysis tasks when the job demands it.

  • Handle larger CSV files when the dataset goes beyond a lightweight spreadsheet task.
  • Use Python-backed logic for heavier transformations and chart generation.
  • Import CSV and export native spreadsheet files when the workflow needs handoff points.
Python-backed analysis preview.
Use cases

Where teams put this workflow to work.

Recurring reporting prep

Clean, structure, and summarize recurring business data before it becomes the weekly or monthly readout.

Operational analysis

Handle logs, exports, and measurement tables that need both spreadsheet logic and a readable result.

Chart-ready deliverables

Move from raw CSVs to charts and narrative summaries without rebuilding the context in a separate tool.

Trust

Built for work that needs a trust model, not just a prompt box.

Business inputs stay close to the work

Jetdraft is built around the files, data, and context teams already use, so work does not need to be flattened into one-off prompts first.

Encryption at rest

Trust is part of the product. Jetdraft keeps encryption at rest in the stack for the teams doing serious work with sensitive inputs.

Zero data retention

Teams need a direct answer on data handling. Jetdraft makes zero data retention part of the public story, not hidden fine print.